Home /Research /Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
OTHER

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol

Year
2022
Citations
119

Abstract

, high-energy physics, astronomy, Earth sciences, and even robotics, videogames, or marketing and finances), in order to narrow down the incoming future of electron microscopy, its challenges and outlook.

Keywords

Current (fluid)NanotechnologyEngineering physicsEngineering ethicsComputer scienceMaterials scienceEngineeringElectrical engineering

Related papers

Browse all OTHER papers